Triple
T8015305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giresun |
E186597
|
entity |
| Predicate | hasMunicipalGovernment |
P3291
|
FINISHED |
| Object | Giresun Municipality |
E656516
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Giresun Municipality | Statement: [Giresun, hasMunicipalGovernment, Giresun Municipality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giresun Municipality Context triple: [Giresun, hasMunicipalGovernment, Giresun Municipality]
-
A.
Giresun, Turkey
Giresun, Turkey is a Black Sea coastal city in northeastern Turkey known for its hazelnut production and lush, hilly landscape.
-
B.
Giresun
chosen
Giresun is a coastal city in northeastern Turkey known for its hazelnut production and scenic location along the Black Sea.
-
C.
Adalar Municipality
Adalar Municipality is the local government authority responsible for administering public services and urban management on Istanbul’s Princes’ Islands district.
-
D.
Galatsi municipality
Galatsi municipality is a suburban residential area and local government unit within the Athens metropolitan region of Greece.
-
E.
Chora District
Chora District is an administrative district located within Afghanistan’s central Uruzgan Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df24e4c8190ae1c46e97e54787d |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56ba88b88190ad279d79d7f0ffd7 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:20 p.m.